Category: Statistics

Minimum of 1 scholarly source AND one appropriate resource such as the textbook, math video and/or math website
In your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s).
Initial Post Instructions
Describe a hypothesis test study that would help your work or conclusions in some way. Describe what variable would be tested and what would be your guess of the value of that variable. Then include how the result, if the null were rejected or not, might change your conclusions or actions in some way.

The purpose of this assignment is to apply a waiting line model to a business service operation in order to recommend the most efficient use of time and resources.
(This assignment has been adapted from Case Problem 2 in Chapter 15 of the textbook.)
Use the information in the scenario provided to prepare a managerial report for Office Equipment, Inc. (OEI). 
Scenario
Office Equipment, Inc. (OEI) leases automatic mailing machines to business customers in Fort Wayne, Indiana. The company built its success on a reputation of providing timely maintenance and repair service. Each OEI service contract states that a service technician will arrive at a customer’s business site within an average of 3 hours from the time that the customer notifies OEI of an equipment problem.
Currently, OEI has 10 customers with service contracts. One service technician is responsible for handling all service calls. A statistical analysis of historical service records indicates that a customer requests a service call at an average rate of one call per 50 hours of operation. If the service technician is available when a customer calls for service, it takes the technician an average of 1 hour of travel time to reach the customer’s office and an average of 1.5 hours to complete the repair service. However, if the service technician is busy with another customer when a new customer calls for service, the technician completes the current service call and any other waiting service calls before responding to the new service call. In such cases, after the technician is free from all existing service commitments, the technician takes an average of 1 hour of travel time to reach the new customer’s office and an average of 1.5 hours to complete the repair service. The cost of the service technician is $80 per hour. The downtime cost (wait time and service time) for customers is $100 per hour.
OEI is planning to expand its business. Within 1 year, OEI projects that it will have 20 customers, and within 2 years, OEI projects that it will have 30 customers. Although OEI is satisfied that one service technician can handle the 10 existing customers, management is concerned about the ability of one technician to meet the average 3-hour service call guarantee when the OEI customer base expands. In a recent planning meeting, the marketing manager made a proposal to add a second service technician when OEI reaches 20 customers and to add a third service technician when OEI reaches 30 customers. Before making a final decision, management would like an analysis of OEI service capabilities. OEI is particularly interested in meeting the average 3-hour waiting time guarantee at the lowest possible total cost.
Managerial Report
Develop a managerial report (1,000-1,250 words) summarizing your analysis of the OEI service capabilities. Make recommendations regarding the number of technicians to be used when OEI reaches 20 and then 30 customers, and justify your response. Include a discussion of the following issues in your report:
What is the arrival rate for each customer?
What is the service rate in terms of the number of customers per hour? (Remember that the average travel time of 1 hour is counted as service time because the time that the service technician is busy handling a service call includes the travel time in addition to the time required to complete the repair.)
Waiting line models generally assume that the arriving customers are in the same location as the service facility. Consider how OEI is different in this regard, given that a service technician travels an average of 1 hour to reach each customer. How should the travel time and the waiting time predicted by the waiting line model be combined to determine the total customer waiting time? Explain.
OEI is satisfied that one service technician can handle the 10 existing customers. Use a waiting line model to determine the following information: (a) probability that no customers are in the system, (b) average number of customers in the waiting line, (c) average number of customers in the system, (d) average time a customer waits until the service technician arrives, (e) average time a customer waits until the machine is back in operation, (f) probability that a customer will have to wait more than one hour for the service technician to arrive, and (g) the total cost per hour for the service operation.
Do you agree with OEI management that one technician can meet the average 3-hour service call guarantee? Why or why not?
What is your recommendation for the number of service technicians to hire when OEI expands to 20 customers? Use the information that you developed in Question 4 (above) to justify your answer.
What is your recommendation for the number of service technicians to hire when OEI expands to 30 customers? Use the information that you developed in Question 4 (above) to justify your answer.
What are the annual savings of your recommendation in Question 6 (above) compared to the planning committee’s proposal that 30 customers will require three service technicians? (Assume 250 days of operation per year.) How was this determination reached?

Instructions
Write a paper incorporating concepts that you learned during the course, using your survey results. You can start with your discussion post responses in Weeks 4 – 7 as a guide. Write a paper (about 2-3 written pages, 4-5 pages include graphs and results), double-spaced and in 12-point font. You will use Excel and/or StatCrunch for this project.
The final project paper will include:
A title
An Introduction
A paragraph on how you sampled the data. Share limitations in your sampling method and discuss the reliability of the survey responses.
Measures of central tendency and variation. Interpret the results in complete sentences. What do these results tell you about your data?
Three graphs with at least one that summarizes categorical data and one that summarizes numerical data. Include captions for each graph.
A confidence interval calculated using Excel or StatCrunch. Use a question from discussion post four and answer it using the confidence interval. Include the results and interpret the confidence interval. A hypothesis test including H0 and Ha answering a second question from discussion post four written as a claim. Include analysis showing the conditions are met, the test statistic and p-value, and a written conclusion. Include the results from StatCrunch. The body of the paper should be written around the results from your graphs, confidence interval and hypothesis test.
Conclusion (Think about what outcomes you found interesting or unexpected.)
Submitting Your Assignment to the Dropbox:
Submit a written paper including the above requirements
Submit a separate document with the survey questions.
Submit the Excel file with the raw data (original data with no calculations or graphs) collected from the survey.

I have included questions as attachments: It should be three questions
Complete exercises numbered 12, 18, and 20 in your textbook. They are at the end of chapter 2, listed under 2.12 Exercises, on page 45 in the textbook. 
Textbook: Tokunaga, H. (2019). Fundamental Statistics for the Social and Behavioral Sciences (2nd ed.). Thousand Oaks, CA: Sage Publications, Inc

Instructions
Using the Food
Affordability Dataset addressing
food affordability, develop one program question that can be answered with a
descriptive analysis. Then, perform the descriptive analysis. Be sure to
include the JASP/Excel/SPSS output and report the findings using APA-compliant
format. To achieve maximum credit on this criterion, you must both accurately
identify, perform, and thoroughly report the program question and descriptive
statistical findings using APA-compliant format.
Next, develop two program questions that can be answered with
inferential analyses. Then, perform both inferential analyses. Be sure to
include the JASP/Excel/SPSS output and report the findings of your two
inferential analyses using APA-compliant format. To achieve maximum credit on
this criterion, you must both accurately identify, perform, and thoroughly
report the program questions and inferential statistical findings using
APA-compliant format.
Describe the practical significance of the findings in terms of
a program evaluation. This might include explaining the direction and magnitude
of a relationship between two continuous variables analyzed with correlation
analysis, or perhaps reporting the R-squared value in terms of variance
explained. These are just two examples: any practical significant explanation
will suffice.
After you describe the practical significance of your findings,
you will need to determine one or more potential ethical risks for the program
questions posed, then describe one or more potential mitigation strategies to
address the ethical risk(s).
Once you have gathered this information, submit a final Word
document that includes a header for each required component of this assignment.
Use these provided headers (in APA-compliant format) for each section:
1.     Descriptive Analysis.
1.     Program Question.
2.     Data Description.
3.     Statistical Analysis.
4.     Interpretation and Report.
2.     Inferential Analysis #1.
1.     Program Question.
2.     Data Description.
3.     Statistical Analysis.
4.     Interpretation and Report.
5.     Chart or Graph.
3.     Inferential Analysis #2.
1.     Program Question.
2.     Data Description.
3.     Statistical Analysis.
4.     Interpretation and Report.
4.     Practical Significance.
5.     Ethical Risk(s).

Research Question: “Are individual differences in
introspective ability reflected in the anatomy of brain regions responsible for
this function?”
The researcher is hypothesizing that introspective ability
may produce (cause) bigger brain, but this an observational research study.
This hypothesis is speculation only.  Cannot be proved with this
observational study.  
Make
a scatterplot suitable for predicting volume from introspective ability.
What is the squared correlation r?
For
regression inference, we estimate two parameters among others: Intercept
(α), and Slope (β). From the output, what are the estimates of these
parameters?
What
is the equation of the least-squares regression line of volume on
introspective ability? 
What
is the confidence interval for the slope of the population regression
line?
What
does the slope tells us about the relationship between introspective
ability and brain volume? 
The
slope tells us something different from the correlation coefficient. 
Explain the difference. 
Checking assumptions underlying regression analysis:
Plot
the standardized residuals against the standardized predicted values. This
is called a residual plot. Any curvilinear pattern in the distribution of
residuals? 
Create
a histogram of residuals. Is there any evidence that the residuals are not
normally distributed? 
Are
the observations (rows) in the data set view independent? Explain.
Any
indication of heteroscedasticity, or distribution of residuals get bigger
or smaller at each of the predicted values? 

To complete this assignment, you will need to have completed unit one homework (chapters 1, 2, & 3). You may watch Make a histogram for help with making a histogram. 
Assignment Instructions
You will find a link to our compiled data set of student temperature data here temperature data summer 21. Using Microsoft Excel, complete #1 and 2 then answer the remaining questions. 
In Excel, construct a relative frequency distribution with a class width of 0.5 and lower class bounder of class one equal to 96.5. Upload the spreadsheet into the eLearn dropbox.
In this same spreadsheet file, construct an appropriate histogram for all the temperature data. You must give it a title. You must also label and appropriately number your axes. Here is a sample of a title and labels.Thinking about our student temperate data set, does body temperature represent discrete or continuous data? Explain.
Calculate the mean, median, and mode of the temperature data. 
Calculate the 5 number summary of the temperature data. 
If the population mean for body temperatures in the US is 97.5 degrees Fahrenheit with a standard deviation of 0.7 degrees Fahrenheit, calculate and interpret the standardized score for someone with a body temperature of 98.6 ̊ F. Show your work.
Calculate and interpret the z-score for your body temperature. Provide a detailed explanation of your calculations or show your work.

Hello,
I already did first 2 questions. The correct tables are already in the document. 2 references please

pick a topic that would do well with showing a positive or negative correlation and why then show the work

Overview: For this Midterm project, you will be collecting and analyzing data on the daily high temperatures during the month of JANUARY 2024 for two cities from the list below, one chosen from the United States options and one chosen from the International options. You will use this information to compare the two cities and make inferences on the true average high temperature during the month of JANUARY for these cities.
I have attached the list of cities below.
Please open and read through this entire document first: Midterm Project Instructions
Please see this Midterm Project Sample for an idea of what I’m looking for with this.
Note: This sample project is meant to help you out, but you should not copy it word for word and should instead try to write things up in your own words. Some portions will sound very similar to what I have, but you need to make sure you are really looking at YOUR data and what IT shows/says, not simply copying what I have provided here.
NOTE: Make sure you include (or separately upload) your dataset. 
Resources:
Midterm Project Template:
This should help you get started with the formatting for your submission. You may write up our own if you wish, but should keep things in the same order. If you want to change the font on the first page to make it look the way you want, please feel free to do so!
Midterm Project Template (Word)Download Midterm Project Template (Word)
This is the preferred template.
Make sure you fill in/delete any of the highlighted portions before submitting.
Midterm Data Template: (Includes help with the OPTIONAL/BONUS GRAPH)
This is meant to help you organize your data. You may type in the values and it *should* generate the OPTIONAL/BONUS GRAPH for you. You will not need to submit this file, but you may copy and paste the columns to the end of your Midterm Project Template where I ask for you datasets.